"109th year project on the comparison, calibration and field aud
「"109th year project on the comparison, calibration and field aud」於資料集「EPQSummary_EnvironmentalMonitoringAndTesting」由單位「行政院環境保護署」的陳先生所提供，聯繫電話是02-2311-7722#2386，最近更新時間為：2023-07-30 01:01:45。 欄位Project Title的內容是"109th year project on the comparison, calibration and field auditing of air pollution sensors" ， 欄位Project Subject的內容是"This project aims at utilizing BAM－1020 PM2.5 values to calibrate the PM2.5 sensors. The calibration results were then applied to analyze the measured PM2.5 data of the randomly selected sensors deployed at sixteen counties or cities to evaluate their performance. Finally, the main goal of this project is to promote the application of the smart IoT sensor network through public education and training workshops to disseminate its applicable range and discuss the factors influencing the sensor reading.The results from the project indicated that the relative humidity （RH） and PM2.5 concentration have a significant effect on the PM2.5 sensor readings which increase with increasing RH. Besides, original manufacture’s data always overestimate PM2.5 concentrations. Therefore, calibration of the sensors data is needed before use. An increase in wind speed and internal leakage will decrease the measured values because of the decrease in sampling flowrate. Currently, the flowrate of PM2.5 sensor is too low so that the detected number concentrations are also very low which lead to very small calculated PM2.5 mass concentrations. Taking PMS5003 as an example, calculated PM2.5 mass concentration is only 1／2004 times indicated values.Hourly average PM2.5 sensor data of Plantower PMS5003 （manufacturer calibration） were first calibrated by those of BAM－1020 using linear regression and the obtained R－squared （R＾2） values were 0.77, 0.60, 0.77, 0.76 and 0.69 for Keelung, Taoyuan, Zhongming, Tainan and Pingtung, respectively. To improve the data quality further, non－linear regression based on PM2.5 concentrations and RH values were then used to calibrate the sensor data. R2 values for Keelung, Taoyuan, Zhongming, Tainan, and Pingtung were increased to 0.80, 0.64, 0.81, 0.81 and 0.74, respectively, while MNB values were decreased substantially to ±10％ from ＋27.50~＋54.54％ and MNE values were also decreased substantially to 36％ from 49.46~66.64％. The non－linear regression equations were also used to calibrate the Sensirion SPS30 and Honeywell HPMA115S0 data. After calibration, the MNB and MNE of hourly average PM2.5 concentrations were reduced to ＜±10％ and ＜17％ from－21.41~＋39.45％ and 32－78~42.92％, respectively. On the aspect of 24－hour average PM2.5 concentrations, MNB and MNE were reduced to ＜±13％ and ＜19％, respectively, for Plantower PMS5003 Sensirion SPS30 and Honeywell HPMA115S0 sensors after non－linear regression. Therefore, well calibrated sensors can be used for supplementary monitoring of air quality stations. It was found that the PM2.5 data of PMS5003 had no obvious aging and data quality degradation after 24－month deployment. It was also found that the Plantower PMS5003 flowrate is too low and PM10 data are almost same as PM2.5 data （PM10 data are severely underestimated）. In order to resolve this problem, sensor flowrate was increased to 0.1 L／min to sample more coarse particles （PM10－2.5）. As a result, PM10－2.5／PM10 ratio was increased to 47.8％ as compared to 20.7％ of the original sensor data. PM10 data were found to be more accurate and can be used for PM10 monitoring after theoretical calculation and calibration with the PM10 data of air quality station in Hsinchu city. This project audited the performance of PM2.5 sensors deployed at 16 counties or cities. Until now, the auditing of 905 sensors has been finished accounting for 12.2％ of 7,400 deployed sensors. Sensors are less accurate at low PM2.5 concentrations of ＜15 μg／m3 leading to low quality index. Auditing criteria is based on concentration difference of ±5 to ±8 μg／m3 when PM2.5 concentration less than 15 g／m3； or less than 30％ or 50％ error when PM2.5 concentrations ≥15 μg／m3 at station auditing and field auditing, respectively. The best 72－hour quality index is over 80％ in most counties and cities except Hsinchu county. The quality index based on the whole auditing period （1..." ， 欄位Project Year的內容是2020 ， 欄位Organizer的內容是"Department of Environmental Monitoring ＆amp; Information Management" ， 欄位Executive Unit的內容是"台灣PM2.5監測與控制產業發展協會" ， 欄位Reporting download URL的內容是https://epq.epa.gov.tw/project/filedownload.aspx?fid=240691 ， 欄位Publish Date的內容是20210110 。
Project Title
"109th year project on the comparison, calibration and field auditing of air pollution sensors"
Project Subject
"This project aims at utilizing BAM－1020 PM2.5 values to calibrate the PM2.5 sensors. The calibration results were then applied to analyze the measured PM2.5 data of the randomly selected sensors deployed at sixteen counties or cities to evaluate their performance. Finally, the main goal of this project is to promote the application of the smart IoT sensor network through public education and training workshops to disseminate its applicable range and discuss the factors influencing the sensor reading.The results from the project indicated that the relative humidity （RH） and PM2.5 concentration have a significant effect on the PM2.5 sensor readings which increase with increasing RH. Besides, original manufacture’s data always overestimate PM2.5 concentrations. Therefore, calibration of the sensors data is needed before use. An increase in wind speed and internal leakage will decrease the measured values because of the decrease in sampling flowrate. Currently, the flowrate of PM2.5 sensor is too low so that the detected number concentrations are also very low which lead to very small calculated PM2.5 mass concentrations. Taking PMS5003 as an example, calculated PM2.5 mass concentration is only 1／2004 times indicated values.Hourly average PM2.5 sensor data of Plantower PMS5003 （manufacturer calibration） were first calibrated by those of BAM－1020 using linear regression and the obtained R－squared （R＾2） values were 0.77, 0.60, 0.77, 0.76 and 0.69 for Keelung, Taoyuan, Zhongming, Tainan and Pingtung, respectively. To improve the data quality further, non－linear regression based on PM2.5 concentrations and RH values were then used to calibrate the sensor data. R2 values for Keelung, Taoyuan, Zhongming, Tainan, and Pingtung were increased to 0.80, 0.64, 0.81, 0.81 and 0.74, respectively, while MNB values were decreased substantially to ±10％ from ＋27.50~＋54.54％ and MNE values were also decreased substantially to 36％ from 49.46~66.64％. The non－linear regression equations were also used to calibrate the Sensirion SPS30 and Honeywell HPMA115S0 data. After calibration, the MNB and MNE of hourly average PM2.5 concentrations were reduced to ＜±10％ and ＜17％ from－21.41~＋39.45％ and 32－78~42.92％, respectively. On the aspect of 24－hour average PM2.5 concentrations, MNB and MNE were reduced to ＜±13％ and ＜19％, respectively, for Plantower PMS5003 Sensirion SPS30 and Honeywell HPMA115S0 sensors after non－linear regression. Therefore, well calibrated sensors can be used for supplementary monitoring of air quality stations. It was found that the PM2.5 data of PMS5003 had no obvious aging and data quality degradation after 24－month deployment. It was also found that the Plantower PMS5003 flowrate is too low and PM10 data are almost same as PM2.5 data （PM10 data are severely underestimated）. In order to resolve this problem, sensor flowrate was increased to 0.1 L／min to sample more coarse particles （PM10－2.5）. As a result, PM10－2.5／PM10 ratio was increased to 47.8％ as compared to 20.7％ of the original sensor data. PM10 data were found to be more accurate and can be used for PM10 monitoring after theoretical calculation and calibration with the PM10 data of air quality station in Hsinchu city. This project audited the performance of PM2.5 sensors deployed at 16 counties or cities. Until now, the auditing of 905 sensors has been finished accounting for 12.2％ of 7,400 deployed sensors. Sensors are less accurate at low PM2.5 concentrations of ＜15 μg／m3 leading to low quality index. Auditing criteria is based on concentration difference of ±5 to ±8 μg／m3 when PM2.5 concentration less than 15 g／m3； or less than 30％ or 50％ error when PM2.5 concentrations ≥15 μg／m3 at station auditing and field auditing, respectively. The best 72－hour quality index is over 80％ in most counties and cities except Hsinchu county. The quality index based on the whole auditing period （1..."
Project Year
2020
Organizer
"Department of Environmental Monitoring ＆amp; Information Management"
Executive Unit
"台灣PM2.5監測與控制產業發展協會"
Reporting download URL
Publish Date
20210110
「"109th year project on the comparison, calibration and field aud」所屬的資料集：「EPQSummary_EnvironmentalMonitoringAndTesting」的其他資料
Project Title：
"The 2019 Project of Chemical Speciation Monitoring and Analysis of Fine Particulate Matter (PM2.5)"
Project Subject：
"This study proceeded with regular collections of PM2.5 (aerodynamic diameters equal to or smaller t
Project Year：
2019
Organizer：
"Department of Environmental Monitoring ＆amp; Information Management"
Project Title：
"Project of river water pollution source identification formation and practice (2/3)"
Project Subject：
"This project attempted to investigate spatial and temporal distributions of water pollution sources
Project Year：
2019
Organizer：
"Environmental Analysis Laboratory"
Project Title：
"Establishment and Application of CSIA technology Plane sec.1--Establishment of Stable Isotope Anal
Project Subject：
"Set up performance data of quality , such as precision, accuracy of GC-IRMS CSIA ,etc. in this plan
Project Year：
2004
Organizer：
"Environmental Analysis Laboratory"
Project Title：
"The Project for Joint Center for Environmental Monitoring and Technology and Asia-Pacific Mercury M
Project Subject：
"Mercury (Hg) is a global pollutant, which is distributed worldwide primarily via atmospheric long-r
Project Year：
2016
Organizer：
"Department of Environmental Monitoring ＆amp; Information Management"
Project Title：
""
Project Subject：
"In this project, the market information of environmentally analytical companies in Mainland China w
Project Year：
2015
Organizer：
"Environmental Analysis Laboratory"
Project Title：
"2012 fine suspended particulate monitoring, investigation and assessment plan"
Project Subject：
"In recent years, the fine suspended particle (PM2.5) concentrations of Yunlin County exceeded the l
Project Year：
2012
Organizer：
"Environmental Protection Bureau Yunlin County"
Project Title：
"Project for the Study and Support to the Environmental Analysis Regulations (2021)"
Project Subject：
"The project period dates from 16th March to 31st December, 2021. The main tasks include supporting
Project Year：
2021
Organizer：
"Environmental Analysis Laboratory"
Project Title：
"Quality Assurance Program for (FRM) PM2.5 Performance Evaluation（2014~2016）"
Project Subject：
"This report provides information of quality assurance for PM2.5 sampling activities from October 1,
Project Year：
2014
Organizer：
"Department of Environmental Monitoring ＆amp; Information Management"
Project Title：
"Ambient Air Quality Monitoring Plan in year 2012"
Project Subject：
"This project, i.e. Ambient Air Quality Monitoring plan in Yulin County in year 2012, began to carry
Project Year：
2012
Organizer：
"Environmental Protection Bureau Yunlin County"
Project Title：
"The development of the vehicle PM2.5 measurement technique"
Project Subject：
"The vehicle exhaust is one of the major air pollution sources in the modern cities. To monitor and
Project Year：
2015
Organizer：
"Environmental Analysis Laboratory"
Project Title：
"The Environment Quality Monitoring of Taoyuan County (2010)"
Project Subject：
" This project focuses on monitoring the noise levels, river water and ground water qualities of Ta
Project Year：
2010
Organizer：
"Taoyuan County Government Environment Protection Bureau"
Project Title：
"Establish Environmental and Health Risk Assessment Technology"
Project Subject：
"This study investigated the environmental exposures to pollutants from multiple medians (ambient, w
Project Year：
2017
Organizer：
"Environmental Analysis Laboratory"
Project Title：
"2014 Atmospheric Fine Particulates Monitoring and Analysis Project in Kinmen County"
Project Subject：
"The project was carried out from Feb. 19th to Dec. 20, 2013. The main work items of this project in
Project Year：
2014
Organizer：
"Environmental Protection Bureau, Kinmen County"
Project Title：
"Quality Assurance Program for (FRM) PM2.5 Performance Evaluation"
Project Subject：
"The executing period of this project is from July 1st 2012 to September 30th 2014. In order to reac
Project Year：
2012
Organizer：
"Department of Environmental Monitoring ＆amp; Information Management"
Project Title：
"The project for background investigation of environmental distribution of chemical substances and m
Project Subject：
"The aims of the present project were to (1) investigate distribution of concerned chemicals in fift
Project Year：
2021
Organizer：
"Toxic and Chemical Substances Bureau"
Project Title：
"The 2018 Project of Chemical Speciation Monitoring and Analysis of Fine Particulate Matter (PM2.5)"
Project Subject：
"This study presents the results of regular PM2.5 (aerodynamic diameters equal to or smaller than 2.
Project Year：
2018
Organizer：
"Department of Environmental Monitoring ＆amp; Information Management"
Project Title：
"Development of analytical tools for measuring and characterizing nanomaterials in the environment"
Project Subject：
"The particle emission characteristics and chemical components of six kinds of textiles containing s
Project Year：
2014
Organizer：
"Environmental Analysis Laboratory"
Project Title：
"The evaluation and identification of biological effects in high-tech industry effluent (3/4) – oxid
Project Subject：
"This study confirms that the toxicity order of oxidants (sodium hypochlorite, hydrogen peroxide) to
Project Year：
2015
Organizer：
"Environmental Analysis Laboratory"
Project Title：
""
Project Subject：
"By referring to the ISO standard of 10801 and 10808, this study developed
an analytics platform whi
Project Year：
2012
Organizer：
"Environmental Analysis Laboratory"
Project Title：
"Effectiveness Evaluation and Improving Strategy of Implementation of Environmental Testing System"
Project Subject：
"Environmental testing is an important cornerstone of environmental protection. Credible and reliabl
Project Year：
2020
Organizer：
"Environmental Analysis Laboratory"
Project Title：
"Development of fine particle (PM2.5) measurement technology"
Project Subject：
"In recent years, the vehicle particle emissions standards had been included by regulations. The new
Project Year：
2014
Organizer：
"Environmental Analysis Laboratory"
Project Title：
"2018 Plan on the Establishment for the Technical Specifications of the Environmental Pesticides Eff
Project Subject：
" The guideline of the efficacy test for environmental pesticides issued and implemented in 2001 s
Project Year：
2018
Organizer：
"Toxic and Chemical Substances Bureau"
Project Title：
"Analytical Technology Study for Environmental Nanoparticle and Green Chemistry (3/3) - Development
Project Subject：
" The plan is to develop the nanoparticles separation technology for biotoxicity testing in envir
Project Year：
2017
Organizer：
"Environmental Analysis Laboratory"
Project Title：
"Environmental Ambient Water Quality Monitoring of North Taiwan"
Project Subject：
"Implementation of Environmental Ambient Water Quality Monitoring of North Taiwan."
Project Year：
2013
Organizer：
"Department of Environmental Monitoring ＆amp; Information Management"
Project Title：
"The Operations Management of Environmental Protection Bureau of Yunlin County analysis laboratory"
Project Subject：
"The Operations Management of Environmental Protection Bureau of Yunlin County analysis laboratory l
Project Year：
2017
Organizer：
"Environmental Protection Bureau Yunlin County"
Project Title：
"Analytical Technology Study for Environmental Nanoparticle and Green Chemistry (3/3) - Development
Project Subject：
" The plan is to develop the nanoparticles separation technology for biotoxicity testing in envir
Project Year：
2017
Organizer：
"Environmental Analysis Laboratory"
Project Title：
"Study of Environmental Forensic Technology Development (2/4)-IC, LC/MS/MS and LC/Q-TOF Forensic Tec
Project Subject：
"The purpose of this study was to develop the IC、LC/MS/MS and LC/Q-TOF forensic technology for ident
Project Year：
2014
Organizer：
"Environmental Analysis Laboratory"
Project Title：
"The Development of an Integrated Information System for Forensic of Environmental Pollution Sources
Project Subject：
"The objectives of this project are constructing auxiliary tools for environmental forensic, establi
Project Year：
2017
Organizer：
"Environmental Analysis Laboratory"
Project Title：
""
Project Subject：
"This study confirms the feasibility of the guideline for toxicity identification evaluation (TIE) o
Project Year：
2016
Organizer：
"Environmental Analysis Laboratory"
Project Title：
"The Project for 2018-2019 Joint Center for Environmental Monitoring and Technology and Asia-Pacific
Project Subject：
"Mercury (Hg) is a global pollutant, which is distributed worldwide primarily via atmospheric long-r
Project Year：
2018
Organizer：
"Department of Environmental Monitoring ＆amp; Information Management"
行政院環境保護署 的其他資料集
嘉義市重要環保統計資料
每1月更新,127顏先生 | 02-23117722#2109 | 2023-08-07 00:59:58
行政院環境保護署EPQSummary_PublicNuisanceDispute
不定期更新更新,117陳先生 | 02-2311-7722#2386 | 2023-07-27 01:02:16
行政院環境保護署室內空氣品質公告場所定期檢測結果
不定期更新更新,115蔣小姐 | 02-23117722#6406 | 2023-07-30 01:04:48
行政院環境保護署鹽水溪污染整治小組及再生願景聯繫會報
不定期更新,33汪先生 | 02-23117722-2849 | 2022-01-15 01:12:51
行政院環境保護署環境教育人員認證得採計之專業領域課程(ODT)
不定期更新更新,38盧小姐 | (03)4020789分機606 | 2023-08-09 01:05:24
行政院環境保護署
重點事業廢棄物-有害污泥之產出及清理流向
每月更新更新,101陳先生 | 02-2311-7722#2682 | 2022-01-14 01:24:17
行政院環境保護署醫療事業廢棄物再利用機構資料
每年更新更新,78李小姐 | 02-2311-7722#2633 | 2022-01-14 01:26:12
行政院環境保護署全國場址公告與解列情形統計表
每1年更新,118呂小姐 | 02-2383-2389#8110 | 2023-07-30 01:03:52
行政院環境保護署預鑄式建築物污水處理設施審定登記認可設施一覽表
不定期更新更新,46洪先生 | 02-23117722分機2833 | 2023-08-09 01:04:31
行政院環境保護署機車排氣定期檢驗資料
不定期更新更新,118謝小姐 | 02-2371-2121#6310 | 2022-01-14 01:18:28
行政院環境保護署
公民營廢棄物乙級處理機構許可資料
每1月更新,123盧小姐 | 02-2311-7722#2651 | 2023-07-28 11:35:17
行政院環境保護署公告應回收項目之責任業者列管家數統計
每1年更新,35廖小姐 | 02-2370-5888#3103 | 2023-07-27 00:59:42
行政院環境保護署應回收廢棄物受補貼機構（處理業）
每1年更新,140廖小姐 | 02-2370-5888#3103 | 2023-07-27 01:00:04
行政院環境保護署六輕相關計畫環評監督委員會會議紀錄
每季更新更新,48陳先生 | 04-22521718#51207 | 2022-01-14 01:21:58
行政院環境保護署環境用藥販賣業地理資料
不定期更新更新,47薛先生 | 02-2325-7399#55413 | 2023-07-27 01:02:55
行政院環境保護署
重點事業廢棄物-有害性集塵灰之產出及清理流向
每1月更新,173林先生 | 02-2311-7722#2671 | 2023-08-07 01:01:56
行政院環境保護署焚化廠飛灰穩定化檢測資料
每月更新更新,112吳先生 | 04-22521718#53526 | 2022-01-15 01:15:34
行政院環境保護署噪音受理檢舉每月平均
不定期更新更新,52謝先生 | 02-23712121#6403 | 2023-08-07 01:00:26
行政院環境保護署0800資源回收免費專線-查詢非業務範圍統計
每年更新更新,40莊先生 | 02-23705888#3108 | 2022-01-14 01:24:30
行政院環境保護署EPQSummary_EnvironmentalEducation
不定期更新更新,181郭先生 | 02-2311-7722 EXT.2399 | 2022-01-15 01:14:02
行政院環境保護署
歷年毒性化學物質環境流布調查成果手冊
每年更新更新,33陳小姐 | 23257399#55337 | 2022-01-14 01:22:52
行政院環境保護署審核事業或污水下水道系統放流水水質濃度限值處理原則
不定期更新,42簡小姐 | 02-2311-7722#2818 | 2022-01-15 01:13:05
行政院環境保護署行政院環境保護署年度施政計畫
不定期更新更新,35賀先生 | 02-23117722轉2981 | 2023-07-27 01:03:02
行政院環境保護署土壤319公頃_一公頃一採樣點位置圖
不更新更新,41謝先生 | (02)23832389*8302 | 2022-01-15 01:15:53
行政院環境保護署已公告之飲用水水源水質保護區一覽表
不定期更新更新,60黃先生 | 02-23117722#2881 | 2022-01-15 01:10:25
行政院環境保護署
固定污染源CEMS監測數據紀錄值資料集(1小時紀錄值)
每1時更新,148洪小姐 | 02-23117722#6221 | 2023-08-02 00:58:28
行政院環境保護署化學物質資料及登錄申請表
不定期更新更新,32金先生 | 23257399#55315 | 2022-01-15 01:13:24
行政院環境保護署資源回收電子報
每1年更新,40廖小姐 | 02-2370-5888#3103 | 2023-08-09 01:04:04
行政院環境保護署毒性化學物質釋放量公開資訊
不定期更新更新,112李小姐 | (02)23257399#55318 | 2023-07-27 01:00:19
行政院環境保護署主要水庫優養指數
每1年更新,32顏先生 | 02-23117722#2109 | 2023-07-30 01:01:02
行政院環境保護署